Engineer - Technical Staff
Savvy Wealth · New York, NY · 1 wk ago
HybridInformation Technology$145k–$170k/yrFull-time
Responsibilities
- Build and ship product features and platform improvements across our stack, from advisor-facing interfaces to the APIs, pipelines, and services that power them.
- Use AI tooling (Claude Code, Cursor, Codex, and whatever's useful) to move faster, write better code, and bring new techniques back to the team.
- Own the end-to-end development lifecycle on your work: scope it, build it, ship it to production, and iterate based on real feedback.
- Produce production-grade, readable, maintainable code with good testing discipline.
- Partner with Product, Design, Data, and business stakeholders to define scope, de-risk execution, and deliver high-impact outcomes.
- Work directly with our customers (financial advisors) to learn their workflows and needs from the source.
Requirements
- 3+ years of professional experience.
- Use AI tools actively in your daily workflow: Cursor, Claude Code, Codex, or similar. This isn't occasional or experimental; it's how you work. We expect you to be fluent in AI-assisted development and to bring that fluency into everything you ship.
- Solid full-stack understanding; comfortable working across the stack. We use Next.js, React, Rails, PostgreSQL, and GraphQL.
- Clear communicator who collaborates well cross-functionally in a fast-moving startup environment.
Qualifications
- Must have experience building and shipping web applications with clear business impact: frontend, backend, or fullstack; what matters is that you've owned real work in production.
Skills
- Experience with LLM APIs, prompt engineering, retrieval patterns, or evaluation frameworks.
- Fintech domain knowledge: financial services, wealth management, regulatory compliance, or financial data integrations.
- Familiarity with vector databases or embedding pipelines (e.g., Pinecone, pgvector, Weaviate).
- Modern development ecosystem fluency: macOS toolchains, CI/CD pipelines, IaaS (AWS/GCP), and observability platforms (Datadog, etc.).
Pay
Compensation Range: $145K - $170K
Schedule
Not specified